intelopenmp.devel.win
2024.2.1.1083
See the version list below for details.
dotnet add package intelopenmp.devel.win --version 2024.2.1.1083
NuGet\Install-Package intelopenmp.devel.win -Version 2024.2.1.1083
<PackageReference Include="intelopenmp.devel.win" Version="2024.2.1.1083" />
<PackageVersion Include="intelopenmp.devel.win" Version="2024.2.1.1083" />
<PackageReference Include="intelopenmp.devel.win" />
paket add intelopenmp.devel.win --version 2024.2.1.1083
#r "nuget: intelopenmp.devel.win, 2024.2.1.1083"
#addin nuget:?package=intelopenmp.devel.win&version=2024.2.1.1083
#tool nuget:?package=intelopenmp.devel.win&version=2024.2.1.1083
Package includes header files, win-x64 and win-x86 dynamic and import libraries
Intel OpenMP* Runtime Library provides OpenMP API specification support in Intel® C Compiler, Intel® C++ Compiler and Intel® Fortran Compiler. It helps to improve performance by creating multithreaded software using shared memory and running on multi-core processor systems.
Product | Versions Compatible and additional computed target framework versions. |
---|---|
native | native is compatible. |
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- intelopenmp.redist.win (= 2024.2.1.1083)
NuGet packages (7)
Showing the top 5 NuGet packages that depend on intelopenmp.devel.win:
Package | Downloads |
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intelmkl.static.win-x64
The package includes static win-x64 libraries Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs. |
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intelmkl.static.win-x86
The package includes static win-x86 libraries Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs. |
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intelipp.devel.win-x64
Intel® Integrated Performance Primitives Library Speed microprocessor performance of imaging, signal processing, and data compression in your C/C++/Fortran code. |
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intelmkl.devel.win-x64
The package includes dynamic win-x64 libraries and header files Intel® oneAPI Math Kernel Library (Intel® oneMKL) is a computing math library of highly optimized, extensively threaded routines for applications that require maximum performance. This package provides C and Data Parallel C++ (DPC++) programming language interfaces. Intel MKL C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. Use it to optimize code for current and future generations of Intel® CPUs and GPUs. |
|
intelipp.devel.win-x86
Intel® Integrated Performance Primitives (Intel® IPP) provides developers with high-quality, production-ready, low-level building blocks for image processing, signal processing, and data processing (data compression and decompression) applications. This package provides C programming language interfaces. Intel IPP C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface. |
GitHub repositories
This package is not used by any popular GitHub repositories.
Version | Downloads | Last Updated |
---|---|---|
2025.2.0.756 | 144 | 6/24/2025 |
2025.1.1.9 | 285 | 4/30/2025 |
2025.1.0.972 | 538 | 3/21/2025 |
2025.0.4.1521 | 253 | 12/12/2024 |
2025.0.3.1400 | 125 | 12/2/2024 |
2025.0.1.1238 | 140 | 11/19/2024 |
2025.0.0.1162 | 1,147 | 10/25/2024 |
2024.2.1.1083 | 23,837 | 8/7/2024 |
2024.1.0.964 | 3,726 | 3/26/2024 |
2024.0.1.49879 | 764 | 12/11/2023 |
2024.0.0.49840 | 894 | 11/14/2023 |
2023.2.2.49531 | 274 | 10/24/2023 |
2023.2.0.49496 | 888 | 7/19/2023 |
2023.1.0.46319 | 641 | 4/2/2023 |
2023.0.0.25922 | 54,532 | 12/20/2022 |
2022.2.1.19741 | 615 | 11/8/2022 |
2022.2.0.9553 | 683 | 9/27/2022 |
2022.0.3.3747 | 25,668 | 3/3/2022 |
2022.0.2.3692 | 728 | 1/25/2022 |
2022.0.0.3663 | 15,565 | 12/13/2021 |
2021.4.0.3556 | 6,234 | 9/29/2021 |
2021.3.0.3372 | 992 | 6/29/2021 |
2021.2.0.616 | 16,281 | 3/29/2021 |
2021.1.2.265 | 806 | 12/22/2020 |
2021.1.1.191 | 6,301 | 12/3/2020 |
2020.4.311 | 37,522 | 10/22/2020 |
2020.2.254 | 1,181 | 7/17/2020 |
2020.1.216 | 4,116 | 3/27/2020 |
2020.0.166 | 19,545 | 12/13/2019 |
2019.5.281 | 1,082 | 8/30/2019 |
2019.4.245 | 5,068 | 5/27/2019 |
2019.3.235 | 32,507 | 4/29/2019 |